Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for providing a viewer with relevant commentary for a live video, the method comprising: playing back a live video that is transmitted, at a transmission start time, simultaneously to a plurality of viewers; receiving, during playback of the live video, input from a first viewer of the plurality of viewers, the input including a reference to an aspect of a segment of the live video; identifying the segment corresponding to the input; identifying a plurality of videos generated by other viewers of the plurality of viewers, each of the plurality of videos comprising a video component including the segment and an audio component including a plurality of words; identifying the plurality of words included in the audio component of each of the plurality of videos; comparing, as a first comparing, the plurality of words included in the audio component of each of the plurality of videos with words associated with the aspect; identifying, based on the first comparing, a subset of the plurality of videos where the audio component relates to the aspect; comparing, as a second comparing, a preference of the first viewer to an attribute associated with the subset of the plurality of videos; selecting a video of the subset of the plurality of videos based on the second comparing; and playing back the selected video to the first viewer.
Video streaming and user interaction. This invention addresses the problem of providing personalized and relevant commentary to viewers of live video streams. The method involves playing a live video simultaneously to multiple viewers. During playback, a viewer provides input that references a specific part of the video. The system identifies this video segment. It then locates videos created by other viewers that also contain this segment. These other viewer videos include both a video component of the segment and an audio component with spoken words. The system extracts the words from the audio components of these other viewer videos. These extracted words are compared to words associated with the aspect referenced by the first viewer's input. Based on this comparison, a subset of the other viewer videos whose audio commentary relates to the referenced aspect is identified. Finally, the system compares the first viewer's preferences with attributes of the identified subset of videos. A video from this subset is selected based on this preference comparison and then played back to the first viewer.
2. The method according to claim 1 , wherein receiving the input from the first viewer comprises: receiving voice input from the first viewer; generating an audio signature based on the voice input received from the first viewer; comparing the audio signature with a plurality of templates stored in a database, each respective template of the plurality of templates corresponding to a respective plurality of keywords associated with a request for clarification regarding the aspect of the segment of the live video; determining that the audio signature matches a respective template; and identifying, based on the respective keywords corresponding to the respective template, the aspect for which the first viewer is requesting clarification.
This invention relates to a system for processing voice-based requests for clarification during live video content. The problem addressed is the need for an efficient way to identify and respond to viewer inquiries about specific aspects of live video segments without manual intervention. The system receives voice input from a viewer and generates an audio signature from the input. This signature is compared against a database of pre-stored audio templates, each linked to specific keywords representing common clarification requests. When a match is found, the system identifies the aspect of the video content the viewer is inquiring about based on the keywords associated with the matched template. This allows the system to automatically recognize and categorize viewer requests, enabling targeted responses or further actions. The method ensures real-time processing of voice inputs, improving interactivity and user experience in live video environments. The system may also integrate with other components, such as those that analyze video segments or generate responses, to provide a seamless clarification process. The invention enhances accessibility and engagement by enabling viewers to quickly and accurately convey their questions about live content.
3. The method according to claim 2 , wherein determining that the audio signature matches the respective template comprises: comparing words included in the audio signature with words included in the respective template; comparing a tone included in the audio signature with a tone included in the respective template; and determining that the words and the tone included in the audio signature matches the words and the tone included in the respective template.
This invention relates to audio recognition systems, specifically methods for matching an audio signature to a predefined template to verify or authenticate audio content. The problem addressed is the need for accurate and reliable audio verification, particularly in applications where both linguistic content and tonal characteristics must be validated. The method involves comparing an audio signature to a stored template by analyzing two key components: the words and the tone. First, the words in the audio signature are compared to the words in the template to assess linguistic consistency. Second, the tonal characteristics of the audio signature, such as pitch, inflection, or other acoustic features, are compared to the tone in the template. A match is determined only if both the words and the tone in the audio signature align with those in the template. This dual-check approach enhances accuracy by ensuring that both semantic and acoustic aspects of the audio are verified. The method is particularly useful in applications requiring strict audio authentication, such as voice biometrics, secure communication systems, or automated verification processes where both what is said and how it is said must be validated. By cross-referencing linguistic and tonal data, the system reduces false positives and improves reliability in audio recognition tasks.
4. The method according to claim 1 , wherein identifying the segment corresponding to the input further comprises: determining that the input includes a keyword referencing a past occurrence; in response to determining that the input includes the keyword referencing the past occurrence, determining whether the keyword matches a plurality of keywords corresponding to a segment of the live video that was played back immediately before the input is received; and in response to determining that the keyword matches the plurality of keywords corresponding to the segment of the live video that was played back immediately before the input is received, identifying the segment of the live video that was played back immediately before the input is received as the segment corresponding to the input.
This invention relates to systems for processing user inputs in live video streaming applications, particularly for identifying relevant video segments based on user queries. The problem addressed is the difficulty in accurately determining which segment of a live video a user is referencing when their input includes keywords related to past content. For example, if a user asks a question about an event that occurred earlier in the live stream, the system must identify the correct segment to provide relevant responses or actions. The method involves analyzing user inputs to detect keywords that reference past occurrences in the live video. When such keywords are found, the system checks whether they match keywords associated with the most recently played segment of the live video. If a match is confirmed, the system identifies that segment as the one corresponding to the user's input. This ensures that responses or actions are based on the correct portion of the live stream, improving the accuracy and relevance of the system's output. The approach enhances user experience by dynamically linking inputs to the appropriate historical context within the live video.
5. The method according to claim 1 , wherein identifying the segment corresponding to the input further comprises: determining that the input includes a keyword referencing an ongoing occurrence; in response to determining that the input includes the keyword referencing the ongoing occurrence, determining whether the keyword matches a plurality of keywords corresponding to a segment of the live video that is played back when the input is received; and in response to determining that the keyword matches a keyword of the plurality of keywords corresponding to the segment of the live video that is played back when the input is received, identifying the segment of the live video that is played back when the input is received as the segment corresponding to the input.
This invention relates to live video processing systems that identify and retrieve specific segments of a live video stream based on user input. The problem addressed is the difficulty in accurately locating and presenting relevant portions of a live video when a user requests information about an ongoing event or occurrence. The solution involves analyzing user input to detect keywords referencing an ongoing event and matching those keywords to predefined keywords associated with segments of the live video being broadcast at the time of the request. When a match is found, the system identifies the corresponding segment of the live video as the relevant portion to present to the user. This ensures that users receive timely and contextually accurate information about events as they unfold in real-time. The method enhances user experience by reducing search time and improving the relevance of the retrieved video segments. The system dynamically associates keywords with live video segments, allowing for real-time updates and accurate retrieval of ongoing events. This approach is particularly useful in applications such as live sports, news broadcasts, or other time-sensitive content where immediate access to specific moments is critical.
6. The method according to claim 1 , wherein receiving the input from the first viewer further comprises: receiving audio including a conversation between at least two viewers of the plurality of viewers; identifying, based on the conversation, the input from the first viewer; identifying, based on the conversation, additional input from a second viewer of the plurality of viewers, the additional input including a keyword associated with a request for clarification regarding the aspect of the segment of the live video; comparing a preference of the second viewer to an attribute associated with the subset of the plurality of videos, and wherein selecting the video of the subset of the plurality of videos further comprises: determining whether the preference of the first viewer matches the preference of the second viewer; and in response to determining that the preference of the first viewer matches the preference of the second viewer, selecting the video of the subset of videos based on the preference of the first viewer and the preference of the second viewer.
This invention relates to a system for enhancing viewer engagement in live video streaming by analyzing audience interactions and dynamically selecting relevant content. The problem addressed is the difficulty in identifying and responding to viewer requests for clarification or additional information during live broadcasts, particularly when multiple viewers are engaged in conversation. The system receives audio input from viewers watching a live video, including conversations between at least two viewers. It processes these conversations to identify specific inputs from individual viewers, such as requests for clarification about a particular aspect of the live video. The system then analyzes viewer preferences and compares them to attributes of available video segments to determine relevance. If the preferences of two or more viewers align, the system selects a video segment that matches those shared preferences, ensuring the content is tailored to the collective interests of the engaged viewers. This dynamic selection process improves the relevance of suggested content, enhancing the overall viewing experience by addressing viewer queries more effectively. The system prioritizes content that aligns with the preferences of multiple viewers, ensuring a more personalized and engaging interaction.
7. The method according to claim 1 , wherein receiving the input from the first viewer further comprises: receiving audio including a conversation between at least two viewers of the plurality of viewers, identifying, based on the conversation, the input from the first viewer, identifying, based on the conversation, additional input from a second viewer of the plurality of viewers, determining, based on the additional input, that the second viewer is not requesting clarification regarding the aspect of the segment of the live video, and wherein playing back the selected video to the first viewer further comprises playing back the selected video on a personal device of the first viewer.
This invention relates to a system for dynamically providing personalized video content to viewers during a live video stream. The problem addressed is the need to enhance viewer engagement by delivering relevant video segments based on individual viewer interactions, while minimizing disruptions to the live stream for other viewers. The method involves monitoring input from multiple viewers during a live video broadcast. When a first viewer provides input related to a specific aspect of the live video segment, the system identifies and processes this input. The system also analyzes audio from conversations between viewers to distinguish between different speakers and their respective inputs. If a second viewer contributes to the conversation but does not request clarification about the segment, the system determines that no further action is needed for that viewer. The system then selects and plays back a relevant video segment to the first viewer on their personal device, ensuring the content is tailored to their specific request without affecting the live stream for others. This approach improves user engagement by providing immediate, personalized responses while maintaining the integrity of the live broadcast for all viewers.
8. The method according to claim 1 , further comprising: receiving, in response to playback of the selected video, additional input from the first viewer; identifying, based on the additional input, a request for further clarification regarding the aspect of the segment of the live video; identifying, based on the request for additional clarification, a specification of a portion of the aspect for which the first viewer is requesting clarification; identifying, based on the specification, a second subset of the plurality of videos; comparing the preference of the first viewer to an attribute associated with the second subset of the plurality of videos; selecting a video of the second subset of the plurality of videos based on the comparison of the preference of the first viewer to the attribute associated with the second subset of the plurality of videos; and playing back the selected video from the second subset of the plurality of videos to the first viewer.
This invention relates to a system for dynamically selecting and playing back video content based on viewer preferences and requests for clarification. The system addresses the challenge of providing personalized and contextually relevant video content to viewers during live or recorded video playback, particularly when a viewer seeks further explanation or details about a specific aspect of the content. The method involves receiving input from a viewer during playback of a selected video, identifying a request for clarification regarding a particular aspect of the video segment, and determining the specific portion of the aspect the viewer is seeking clarification on. Based on this specification, the system identifies a subset of videos relevant to the requested clarification. The system then compares the viewer's preferences to attributes associated with this subset of videos, such as content type, complexity, or relevance, to select the most suitable video. The selected video is then played back to the viewer, providing the requested clarification in a personalized manner. This approach enhances viewer engagement by dynamically adapting content delivery to individual needs, ensuring that viewers receive targeted and relevant information without manual searching or navigation. The system leverages viewer preferences and contextual cues to streamline the process of finding and presenting supplementary content.
9. The method according to claim 1 , wherein comparing the preference of the first viewer to the attribute associated with the subset of the plurality of videos further comprises: retrieving the preference of the first viewer from a profile associated with the first viewer; retrieving the attribute associated with each video of the subset of the plurality of videos from metadata associated with each video of the subset of the plurality of videos; and for each video of the subset of the plurality of videos, determining whether the preference of the first viewer matches the attribute.
This invention relates to a video recommendation system that personalizes content suggestions based on viewer preferences and video attributes. The system addresses the challenge of efficiently matching user preferences with relevant video content by analyzing metadata and user profiles to improve recommendation accuracy. The method involves retrieving a viewer's preference from their associated profile and comparing it to attributes stored in the metadata of a subset of videos. For each video in the subset, the system determines whether the viewer's preference aligns with the video's attributes. This comparison process ensures that recommended videos are more likely to match the viewer's interests, enhancing user satisfaction and engagement. The system first identifies a subset of videos from a larger collection, then retrieves the viewer's preference data and the metadata attributes of each video in the subset. By systematically evaluating these attributes against the viewer's preferences, the method generates a refined set of recommendations tailored to the individual. This approach improves the efficiency and relevance of video suggestions, addressing the problem of generic or mismatched recommendations in existing systems. The method can be applied in various video streaming platforms to enhance personalized content delivery.
10. The method according to claim 9 , further comprising: in response to determining whether the preference of the first viewer matches the attribute, generating a list of the videos included in the subset of the plurality of videos, the list being ordered based on a degree of matching of the preference of the first viewer to the attribute; and identifying, based on the list, the video of the subset of the plurality of videos with the highest degree of matching of the preference of the first viewer to the attribute, wherein selecting a video of the subset of the plurality of videos further comprises selecting the video identified as having the highest degree of matching of the preference of the first viewer to the attribute.
This invention relates to video recommendation systems that personalize content selection based on viewer preferences. The problem addressed is the need to efficiently identify and present the most relevant video from a large collection to a specific viewer, ensuring alignment with their preferences. The method involves analyzing a plurality of videos to extract attributes, such as genre, theme, or viewer engagement metrics. A subset of videos is filtered based on a first viewer's preferences, which may include historical viewing data, explicit selections, or inferred interests. The system then generates a ranked list of these videos, ordered by how closely each video's attributes match the viewer's preferences. The video with the highest degree of matching is selected for presentation, ensuring the most relevant content is prioritized. The process may also involve comparing the viewer's preferences against multiple attributes, such as content similarity, popularity, or recency, to refine the selection. The system dynamically adjusts recommendations based on real-time feedback or updated viewer data, improving accuracy over time. This approach enhances user engagement by delivering personalized video content tailored to individual tastes.
11. A system for providing a viewer with relevant commentary for a live video, the system comprising: control circuitry configured to: play back a live video that is transmitted, at a transmission start time, simultaneously to a plurality of viewers; receive, during playback of the live video, input from a first viewer of the plurality of viewers, the input including a reference to an aspect of a segment of the live video; identify the segment corresponding to the input; identify a plurality of videos generated by other viewers of the plurality of viewers, each of the plurality of videos comprising a video component including the segment and an audio component including a plurality of words; identify the plurality of words included in the audio component of each of the plurality of videos; compare, as a first comparison, the plurality of words included in the audio component of each of the plurality of videos with words associated with the aspect; identify, based on the first comparison, a subset of the plurality of videos where the audio component relates to the aspect; compare, as a second comparison, a preference of the first viewer to attribute associated with the subset of the plurality of videos; select a video of the subset of the plurality of videos based on the second comparison; and play back the selected video to the first viewer.
This system enhances live video viewing by providing relevant commentary from other viewers. The system addresses the challenge of delivering personalized, contextually relevant commentary during live video streams, where traditional methods often fail to filter or prioritize user-generated content effectively. The system includes control circuitry that plays back a live video transmitted simultaneously to multiple viewers. During playback, it receives input from a viewer referencing a specific aspect of a video segment. The system then identifies the referenced segment and searches for other viewer-generated videos that include this segment. Each of these videos contains both a video component (matching the segment) and an audio component (commentary). The system analyzes the audio components to identify words related to the referenced aspect, filtering out videos where the commentary is irrelevant. It then compares the first viewer's preferences with attributes of the filtered videos (e.g., viewer reputation, relevance metrics) to select the most suitable commentary. Finally, the system plays back the selected video to the first viewer, ensuring they receive timely, relevant insights from other viewers. This approach improves engagement by dynamically curating user-generated content based on context and user preferences.
12. The system according to claim 11 , wherein the control circuitry, when receiving the input from the first viewer, is further configured to: receive voice input from the first viewer; generate an audio signature based on the voice input received from the first viewer; compare the audio signature with a plurality of templates stored in a database, each respective template of the plurality of templates corresponding to a respective plurality of keywords associated with a request for clarification regarding the aspect of the segment of the live video; determine that the audio signature matches a respective template; and identify, based on the respective keywords corresponding to the respective template, the aspect for which the first viewer is requesting clarification.
This invention relates to a system for processing voice-based requests for clarification during live video content. The system addresses the challenge of enabling viewers to request clarification on specific aspects of live video content in a seamless and automated manner. The system includes control circuitry that receives voice input from a viewer and generates an audio signature from this input. The audio signature is then compared against a database of pre-stored templates, each template corresponding to a set of keywords associated with a request for clarification about a particular aspect of the live video. If a match is found, the system identifies the specific aspect of the video content for which the viewer is seeking clarification based on the keywords linked to the matched template. This allows the system to accurately interpret and respond to viewer queries in real-time, enhancing the interactive experience of live video content. The system may also include additional features such as displaying the identified aspect on a display device or providing further information related to the clarified aspect. The overall goal is to improve viewer engagement and comprehension by enabling precise, voice-activated clarification requests during live video playback.
13. The system according to claim 12 , wherein the control circuitry, when determining that the audio signature matches the respective template, is further configured to: compare words included in the audio signature with words included in the respective template; compare a tone included in the audio signature with a tone included in the respective template; and determine that the words and the tone included in the audio signature matches the words and the tone included in the respective template.
This invention relates to audio recognition systems that analyze audio signatures to identify and authenticate users or commands. The system addresses the challenge of accurately matching audio inputs against stored templates, particularly in noisy environments or when dealing with variations in speech patterns. The system includes control circuitry that processes an audio signature, which may be a recorded voice command or other audio input, and compares it to a stored template. The template contains predefined words and tonal characteristics associated with a specific user or command. When the audio signature is received, the control circuitry first checks if it matches the template. If a match is found, the system performs a detailed comparison of the words and tone in the audio signature against those in the template. The system then determines whether both the words and the tone in the audio signature align with the template, ensuring a high level of accuracy in recognition. This method enhances security and reliability in voice-based authentication or command systems by verifying both linguistic and tonal consistency. The system is particularly useful in applications requiring robust audio recognition, such as smart home devices, voice assistants, or secure access control systems.
14. The system according to claim 11 , wherein the control circuitry, when identifying the segment corresponding to the input, is further configured to: determine that the input includes a keyword referencing a past occurrence; in response to determining that the input includes the keyword referencing the past occurrence, determine whether the keyword matches a plurality of keywords corresponding to a segment of the live video that was played back immediately before the input is received; and in response to determining that the keyword matches the plurality of keywords corresponding to the segment of the live video that was played back immediately before the input is received, identify the segment of the live video that was played back immediately before the input is received as the segment corresponding to the input.
This invention relates to a system for processing user inputs in a live video streaming environment, particularly for identifying and retrieving specific segments of a live video based on user queries. The problem addressed is the difficulty in accurately locating and replaying past segments of a live video when a user provides an input referencing a past occurrence, especially when the input includes keywords that may match multiple segments. The system includes control circuitry configured to analyze user inputs and determine if they contain keywords referencing past video segments. When such a keyword is detected, the system checks whether it matches keywords associated with the most recently played segment of the live video. If a match is found, the system identifies the immediately preceding segment as the relevant segment corresponding to the user's input. This allows the system to efficiently retrieve and replay the correct segment without requiring extensive search or manual selection. The approach ensures that user queries about recent events in a live stream are accurately resolved by leveraging contextual information from the most recent video content. The system enhances user experience by providing quick access to relevant past segments based on keyword matching and contextual relevance.
15. The system according to claim 11 , wherein the control circuitry, when identifying the segment corresponding to the input, is further configured to: determine that the input includes a keyword referencing an ongoing occurrence; in response to determining that the input includes the keyword referencing the ongoing occurrence, determine whether the keyword matches a plurality of keywords corresponding to a segment of the live video that is played back when the input is received; and in response to determining that the keyword matches a keyword of the plurality of keywords corresponding to the segment of the live video that is played back when the input is received, identify the segment of the live video that is played back when the input is received as the segment corresponding to the input.
This invention relates to a system for identifying and navigating to specific segments of a live video stream based on user input. The problem addressed is the difficulty of locating relevant portions of a live video when a user wants to revisit or share a specific moment, particularly when the video is ongoing and lacks traditional indexing methods. The system includes control circuitry configured to process user input, such as a search query or command, to determine if it references an ongoing occurrence. If the input contains a keyword related to an event happening in the live video, the system checks whether that keyword matches any keywords associated with the current segment of the video being played. If a match is found, the system identifies the current segment as the relevant segment corresponding to the user's input. This allows users to quickly access or share the exact part of the live video that aligns with their query, improving navigation and usability during live broadcasts. The system may also include features for storing and retrieving segments based on keywords, enhancing the ability to reference specific moments in real-time video content.
16. The system according to claim 11 , wherein the control circuitry, when receiving the input from the first viewer, is further configured to: receive audio including a conversation between at least two viewers of the plurality of viewers; identify, based on the conversation, the input from the first viewer; identify, based on the conversation, additional input from a second viewer of the plurality of viewers, the additional input including a keyword associated with a request for clarification regarding the aspect of the segment of the live video; compare a preference of the second viewer to an attribute associated with the subset of the plurality of videos, and wherein the control circuitry, when selecting the video of the subset of the plurality of videos, is further configured to: determine whether the preference of the first viewer matches the preference of the second viewer; and in response to determining that the preference of the first viewer matches the preference of the second viewer, select the video of the subset of videos based on the preference of the first viewer and the preference of the second viewer.
A system for enhancing live video interactions analyzes conversations between multiple viewers to identify requests for clarification or additional context. The system processes audio input from viewers to detect keywords or phrases indicating a need for further explanation regarding a specific aspect of the live video. When a second viewer requests clarification, the system compares their preferences with those of the first viewer and an attribute of a subset of related videos. If the preferences align, the system selects a video from the subset that caters to both viewers' preferences, ensuring the content is relevant and tailored to their shared interests. This approach improves engagement by dynamically adapting to viewer interactions and providing personalized follow-up content. The system leverages preference matching to enhance the viewing experience, ensuring that additional content aligns with the collective interests of the audience. This method supports real-time adaptation to viewer feedback, making live video interactions more interactive and responsive.
17. The system according to claim 11 , wherein the control circuitry, when receiving the input from the first viewer, is further configured to: receive audio including a conversation between at least two viewers of the plurality of viewers, identify, based on the conversation, the input from the first viewer, identify, based on the conversation, additional input from a second viewer of the plurality of viewers, determine, based on the additional input, that the second viewer is not requesting clarification regarding the aspect of the segment of the live video, and wherein the control circuitry, when playing back the selected video to the first viewer, is further configured to play back the selected video on a personal device of the first viewer.
This invention relates to a system for enhancing viewer engagement with live video content by analyzing conversations among multiple viewers and selectively providing personalized video playback. The system addresses the challenge of delivering relevant content to individual viewers in real-time, particularly when multiple viewers are discussing different aspects of a live video segment. The system includes control circuitry that processes audio input from a group of viewers watching a live video. The circuitry identifies specific inputs from individual viewers, such as requests for clarification or comments about a particular segment. If a second viewer provides additional input that does not request clarification, the system determines that the second viewer is not seeking further information. Based on this analysis, the system selects and plays back a relevant video segment on the personal device of the first viewer, ensuring personalized and contextually appropriate content delivery. This approach improves user experience by dynamically adapting to viewer interactions and reducing irrelevant interruptions.
18. The system according to claim 11 , wherein the control circuitry is further configured to: receive, in response to playback of the selected video, additional input from the first viewer; identify, based on the additional input, a request for further clarification regarding the aspect of the segment of the live video; identify, based on the request for additional clarification, a specification of a portion of the aspect for which the first viewer is requesting clarification; identify, based on the specification, a second subset of the plurality of videos; compare the preference of the first viewer to an attribute associated with the second subset of the plurality of videos; select a video of the second subset of the plurality of videos based on the comparison of the preference of the first viewer to an attribute associated with the second subset of the plurality of videos; and play back the selected video from the second subset of the plurality of videos to the first viewer.
This invention relates to a video playback system that enhances viewer engagement by dynamically providing additional content based on user preferences and requests for clarification. The system addresses the challenge of delivering personalized and contextually relevant video content during live or recorded playback, ensuring viewers receive the most pertinent information without manual searching. The system includes control circuitry that monitors viewer interactions during playback. When a viewer requests further clarification on a specific aspect of a video segment, the system analyzes the request to determine the exact portion of the aspect requiring explanation. It then identifies a subset of videos from a larger collection that are relevant to this specified portion. The system compares the viewer's known preferences with attributes of the videos in this subset, such as content type, difficulty level, or relevance to the original segment. Based on this comparison, it selects the most suitable video and plays it back to the viewer, ensuring the additional content aligns with their interests and needs. This automated process eliminates the need for manual searching and enhances the viewing experience by providing tailored, just-in-time information.
19. The system according to claim 11 , wherein the control circuitry, when comparing the preference of the first viewer to the attribute associated with the subset of the plurality of videos, is further configured to: retrieve the preference of the first viewer from a profile associated with the first viewer; retrieve the attribute associated with each video of the subset of the plurality of videos from metadata associated with each video of the subset of the plurality of videos; and for each video of the subset of the plurality of videos, determine whether the preference of the first viewer matches the attribute.
This system relates to personalized video content recommendation, addressing the challenge of efficiently matching viewer preferences with video attributes to improve content suggestions. The system includes control circuitry that compares a first viewer's preferences with attributes of a subset of videos to determine matches. The control circuitry retrieves the viewer's preferences from a profile linked to the viewer and obtains video attributes from metadata associated with each video in the subset. For each video, the system evaluates whether the viewer's preferences align with the video's attributes, enabling tailored recommendations. The system may also prioritize videos based on the strength of the match, ensuring the most relevant content is presented to the viewer. This approach enhances user engagement by delivering personalized video suggestions that closely align with individual preferences, improving the overall viewing experience. The system can be integrated into streaming platforms, video-on-demand services, or other digital media applications to optimize content delivery based on user-specific data.
20. The system according to claim 19 , wherein the control circuitry is further configured to: in response to determining whether the preference of the first viewer matches the attribute, generate a list of the videos included in the subset of the plurality of videos, the list being ordered based on a degree of matching of the preference of the first viewer to the attribute; and identify, based on the list, the video of the subset of the plurality of videos with the highest degree of matching of the preference of the first viewer to the attribute, wherein the control circuitry, when selecting a video of the subset of the plurality of videos, is further configured to select the video identified as having the highest degree of matching of the preference of the first viewer to the attribute.
This invention relates to a video recommendation system that personalizes content selection for viewers based on their preferences. The system addresses the challenge of efficiently matching viewer preferences with video attributes to improve recommendation accuracy and user satisfaction. The system includes control circuitry that analyzes viewer preferences and video attributes to generate a ranked list of videos, prioritized by how closely they align with the viewer's preferences. When selecting a video, the system identifies and chooses the video with the highest degree of preference matching. This ensures that the most relevant content is recommended, enhancing the viewing experience. The system dynamically adjusts recommendations based on real-time preference analysis, ensuring personalized and contextually appropriate video selections. The invention improves upon traditional recommendation systems by incorporating a more refined matching process, leading to higher user engagement and satisfaction.
Unknown
March 24, 2020
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